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Data Science Internship - Apple

Apple


Location:
Cupertino, California
Date:
07/20/2017
2017-07-202017-09-18
Categories:
  • Data Analytics
  • Data Scientist
  • Data Engineer
  • Statistician
Apple
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Job Details

Apple Maps Data team is looking for a passionate data science intern who can stand to the challenge of innovating sophisticated machine-learning based techniques for deep data analysis. Maps data team is responsible for acquisition, quantitative quality evaluation, and enrichment of data. As part of the team, you would get an opportunity to work along senior engineers to develop algorithms and metrics for data quality evaluation and valuable information extraction that would impact the experience of million of Map users worldwide. We are looking for an energetic intern candidate who can not only help our team design a great solution, but also can successfully put the idea into production. The intern candidate will have a bent for research with knowledge in NLP, pattern mining, anomaly detection, classification, and deep learning. The intern candidate should have good software development skills and be a great team player. Bring passion, dedication, and creativity to your work and there's no telling what you would accomplish and change peoples life for better.

 

Description

  • Use machine learning and statistical methods to develop models using large volumes of data to detect anomalies
  • Develop code using object oriented programming languages to deploy the models in the production
  • Mine patterns in the data to generate deep insights for data gaps and automatic data enrichment
  • Design solutions to extract relevant information from text data using NLP and machine learning methods

Requirements

Education Details

Currently enrolled in a MSc or PhD program in Machine-learning, Data Mining, Computer Science or similar

 

Key Qualifications

Penchant for quick learning and product delivery

Strong knowledge in various aspects of machine learning and NLP, such as deep learning, classification, regression, feature engineering, clustering, topic modeling, and statistical modeling.

Hands on coding experience using object oriented programming (Java or Python)

Good knowledge of working on Linux or related operating systems

Proficiency with SQL or No-SQL databases and SQL query language

Some experience working with machine learning platforms (H2O, Tensorflow, SciKit, or Spark MLLib) or Statistical packages is a plus

Knowledge of big data technologies (Hadoop and Hive) is a plus

 

JobID: 74897516

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